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GLOBE 2020: National Cultural Norms and Leadership Ideals

2025· article· en· W4416002884 on OpenAlexaffabout
Amanda Bullough, Carolyn P. Egri, Anirban Kar, Medha Satish Kumar, Mila Lazarova

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsYork UniversitySimon Fraser UniversityUniversity of Victoria
Fundersnot available
KeywordsGlobeGlobal LeadershipInclusion (mineral)Cultural diversityWork (physics)Organizational cultureLeadership styleTeamwork

Abstract

fetched live from OpenAlex

This panel symposium reports findings of the current phase of the GLOBE (Global Leadership and Organizational Behavior Effectiveness) project that addresses the dual challenge of updating our knowledge on societal culture and gaining new insights on global leadership. Initially launched in the 1990, the GLOBE project was designed as a large-scale research initiative that examines culture and leadership and involved thousands of respondents across 62 societies, making it one of the largest and most comprehensive studies in field of international management. A new phase of GLOBE (GLOBE 2020) was launched, with a multi-phase, multi-method, multi-country research program designed to examine shifts in both societal culture and global leadership since the early 1990s, as well as the relationships between societal culture, organizational culture, and leadership processes. The GLOBE 2020 research program represents a major extension and expansion of 30 years of collaborative work conducted by GLOBE researchers (globeproject.com). GLOBE 2020 is focused on contemporary cultural norms, culture change, leadership ideals, and generalized and interpersonal trust (Javidan, et al., 2024). This phase of the GLOBE project involves surveys of managers and professionals in 144 countries/societies conducted during 2019-22. It is managed by a team of researchers in Canada and the U.S. and built a network of 424 Country Co-Investigators (CCIs), researchers who collected data in their countries/societies and serve as in-country experts to ensure quality research methods and the equitable and fair inclusion of all countries around the world. The countries/societies represented in this study account for more than 99% of the world’s Gross Domestic Product (GDP) and 96% of the world population. This panel symposium will provide a review of the theoretical framework and research methodology (including instrument design, sampling procedure, and statistical analyses) of the GLOBE 2020 project. The panel will also share project findings regarding cultural norms and clusters, and leadership ideals.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.164
GPT teacher head0.393
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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